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De Groote E, De Keyser K, Bockstael A, Botteldooren D, Santens P, De Letter M. Central auditory processing in parkinsonian disorders: A systematic review. Neurosci Biobehav Rev 2020; 113:111-132. [PMID: 32145223 DOI: 10.1016/j.neubiorev.2020.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 02/23/2020] [Accepted: 03/02/2020] [Indexed: 10/24/2022]
Abstract
Altered auditory processing has been increasingly recognized as a non-motor feature in parkinsonian disorders. This systematic review provides an overview of behavioral and electrophysiological literature on central auditory processing in patients with Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). A systematic database search was conducted and yielded 88 studies that met the intelligibility criteria. The collected data revealed distinct impairments in a range of central auditory processes in PD, including altered deviance detection of basic auditory features, auditory brainstem processing, auditory gating and selective auditory attention. In contrast to PD, literature on central auditory processing in atypical parkinsonian disorders was relatively scarce, but provided some evidence for impaired central auditory processing in MSA and PSP. The interpretation of these findings is discussed and suggestions for further research are offered.
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Affiliation(s)
- Evelien De Groote
- Department of Rehabilitation Sciences, Ghent University, C. Heymanslaan 10, B-9000, Ghent, Belgium.
| | - Kim De Keyser
- Department of Rehabilitation Sciences, Ghent University, C. Heymanslaan 10, B-9000, Ghent, Belgium
| | - Annelies Bockstael
- INTEC, Acoustic Research Group, Ghent University, Technologiepark Zwijnaarde 15, B-9052, Ghent, Belgium
| | - Dick Botteldooren
- INTEC, Acoustic Research Group, Ghent University, Technologiepark Zwijnaarde 15, B-9052, Ghent, Belgium
| | - Patrick Santens
- Department of Neurology, Ghent University Hospital, C. Heymanslaan 10, B-9000, Ghent, Belgium
| | - Miet De Letter
- Department of Rehabilitation Sciences, Ghent University, C. Heymanslaan 10, B-9000, Ghent, Belgium
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Merola A, Sturchio A, Hacker S, Serna S, Vizcarra JA, Marsili L, Fasano A, Espay AJ. Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. Expert Rev Neurother 2018; 18:825-845. [PMID: 30269610 DOI: 10.1080/14737175.2018.1530593] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION The increasing development and availability of portable and wearable technologies is rapidly expanding the field of technology-based objective measures (TOMs) in neurological disorders, including Parkinson disease (PD). Substantial challenges remain in the recognition of disease phenomena relevant to patients and clinicians, as well as in the identification of the most appropriate devices to carry out these measurements. Areas covered: The authors systematically reviewed PubMed for studies employing technology as outcome measures in the assessment of PD-associated motor and nonmotor abnormalities. Expert commentary: TOMs minimize intra- and inter-rater variability in clinical assessments of motor and nonmotor phenomena in PD, improving the accuracy of clinical endpoints. Critical unmet needs for the integration of TOMs into clinical and research practice are the identification and validation of relevant endpoints for individual patients, the capture of motor and nonmotor activities from an ecologically valid environment, the integration of various sensor data into an open-access, common-language platforms, and the definition of a regulatory pathway for approval of TOMs. The current lack of multidomain, multisensor, smart technologies to measure in real time a wide scope of relevant changes remain a significant limitation for the integration of technology into the assessment of PD motor and nonmotor functional disability.
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Affiliation(s)
- Aristide Merola
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Andrea Sturchio
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Stephanie Hacker
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Santiago Serna
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Joaquin A Vizcarra
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Luca Marsili
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
| | - Alfonso Fasano
- b Edmond J. Safra Program in Parkinson's disease and the Morton and Gloria Shulman Movement Disorders Clinic , Toronto Western Hospital, University of Toronto; Krembil Brain Institute , Toronto , ON , Canada
| | - Alberto J Espay
- a James J and Joan A Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology , University of Cincinnati , Cincinnati , OH , USA
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Güntekin B, Hanoğlu L, Güner D, Yılmaz NH, Çadırcı F, Mantar N, Aktürk T, Emek-Savaş DD, Özer FF, Yener G, Başar E. Cognitive Impairment in Parkinson's Disease Is Reflected with Gradual Decrease of EEG Delta Responses during Auditory Discrimination. Front Psychol 2018. [PMID: 29515489 PMCID: PMC5826339 DOI: 10.3389/fpsyg.2018.00170] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Parkinson’s disease (PD) is a neurodegenerative disease that is characterized by loss of dopaminergic neurons in the substantia nigra. Mild Cognitive impairment (MCI) and dementia may come along with the disease. New indicators are necessary for detecting patients that are likely to develop dementia. Electroencephalogram (EEG) Delta responses are one of the essential electrophysiological indicators that could show the cognitive decline. Many research in literature showed an increase of delta responses with the increased cognitive load. Furthermore, delta responses were decreased in MCI and Alzheimer disease in comparison to healthy controls during cognitive paradigms. There was no previous study that analyzed the delta responses in PD patients with cognitive deficits. The present study aims to fulfill this important gap. 32 patients with Parkinson’s disease (12 of them were without any cognitive deficits, 10 of them were PD with MCI, and 10 of them were PD with dementia) and 16 healthy subjects were included in the study. Auditory simple stimuli and Auditory Oddball Paradigms were applied. The maximum amplitudes of each subject’s delta response (0.5–3.5 Hz) in 0–600 ms were measured for each electrode and for each stimulation. There was a significant stimulation × group effect [F(df = 6,88) = 3,21; p < 0.015; ηp2 = 0.180], which showed that the difference between groups was specific to the stimulation. Patients with Parkinson’s disease (including PD without cognitive deficit, PD with MCI, and PD with dementia) had reduced delta responses than healthy controls upon presentation of target stimulation (p < 0.05, for all comparisons). On the other hand, this was not the case for non-target and simple auditory stimulation. Furthermore, delta responses gradually decrease according to the cognitive impairment in patients with PD. Conclusion: The results of the present study showed that cognitive decline in PD could be represented with decreased event related delta responses during cognitive stimulations. Furthermore, the present study once more strengthens the hypothesis that decrease of delta oscillatory responses could be the candidate of a general electrophysiological indicator for cognitive impairment.
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Affiliation(s)
- Bahar Güntekin
- Department of Biophysics, School of International Medicine, Istanbul Medipol University, Istanbul, Turkey.,REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey
| | - Lütfü Hanoğlu
- REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.,Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Dilan Güner
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine Research, Istanbul University, Istanbul, Turkey
| | - Nesrin H Yılmaz
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Fadime Çadırcı
- REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.,Department of Neuroscience, Institute of Medical Science, Istanbul Medipol University, Istanbul, Turkey
| | - Nagihan Mantar
- REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.,Department of Neuroscience, Institute of Medical Science, Istanbul Medipol University, Istanbul, Turkey
| | - Tuba Aktürk
- REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.,Department of Neuroscience, Institute of Medical Science, Istanbul Medipol University, Istanbul, Turkey
| | - Derya D Emek-Savaş
- Department of Psychology, Faculty of Letters, Dokuz Eylül University, Izmir, Turkey
| | - Fahriye F Özer
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey.,Department of Neurology, Koç University Hospital, Istanbul, Turkey
| | - Görsev Yener
- Department of Neurology, Dokuz Eylül University School of Medicine, Izmir, Turkey.,Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey.,Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
| | - Erol Başar
- Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kultur University, Istanbul, Turkey
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